Understanding the laws of nature does not mean that we are immune to their operations.
- David Gerrold

Nature and books belong to the eyes that see them.
- Ralph Waldo Emerson

Look deep into nature, and then you will understand everything better.
- Albert Einstein

I go to nature to be soothed and healed, and to have my senses put in order.
- John Burroughs

Like music and art, love of nature is a common language that can transcend political or social boundaries.
- Jimmy Carter

GEOINFORMATICS LABORATORY

The GeoInformatics Laboratory (GIL) acts as a focus for research into geoinformatics across the School of Earth Environment and Society (SEES) and other disciplines at the University. Geoinformatics involves a range of different synergetic activities including the collection, processing, analysis and visualization of spatial data sets. This emphasis on multidisciplinary approaches creates a strong focus on different application areas including environmental problem-solving, human-environment interactions, collaborative spatial decision-making, and other cross-disciplinary approaches that use applications of geographic information science (GIScience) and remote sensing.

Examples of the areas of study of our team of researchers features a strong focus on geomorphometric analysis and digital terrain representation, modeling landslide processes under undisturbed and disturbed conditions, computational approaches for understanding potential avian impact from offshore wind farms, predicting invasive species in wetland environment and other remote sensing land use approaches aimed at inventory, monitoring and modeling of conditions. The most current research projects underway are in the area of web-based GIS, such as collaborative spatial decision support systems (C-SDSSs), public participatory GIS (PPGIS), volunteered geographic information (VGI), and 3D geo-information derived from laser scanning techniques.

New Pub! The latest publication will appear soon in International Journal of Digital Earth.
Congratulations to our former student Udaya Jayawardhana ! For more information check the articles in press.
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Relationship between Leaf Area Index (LAI) estimated by terrestrial LiDAR and ...

The research uses a terrestrial laser scanning (TLS), also known as ground-based LiDAR
(Light Detection and Ranging) which has been used as an alternative indirect method for quantifying aboveground ...
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Realtime geospatial computations and presentation using R

An application of analysing climatic data from
Macedonia using R demostrating its power of geospatial data
processing and analysing capabilities.
[more]